/Prediction-of-Obesity-Risk

This project tackles the growing concern of obesity by developing a model to predict an individual's risk. By analyzing various factors, we aim to identify people who might be more susceptible to weight gain and related health problems.

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Prediction-of-Obesity-Risk

Dataset-Description

The data consist of the estimation of obesity levels in people from the countries of Mexico, Peru and Colombia, with ages between 14 and 61 and diverse eating habits and physical condition , data was collected using a web platform with a survey where anonymous users answered each question, then the information was processed obtaining 17 attributes and 2111 records.

Attributes related to eating habits: Frequent consumption of high caloric food (FAVC) Frequency of consumption of vegetables (FCVC) Number of main meals (NCP) Consumption of food between meals (CAEC) Consumption of water daily (CH20) Consumption of alcohol (CALC) Attributes related to physical condition:

Calories consumption monitoring (SCC) Physical activity frequency (FAF) Time using technology devices (TUE) Transportation used (MTRANS)